cloudwatch metrics

#!/usr/bin/envpython#-*-coding:utf8-*-"" "@Author :villiamsheng@group: LinuxGroup@Date:2011-07-18@Funtion: Updatekvmhoststatus... get_nic:getaweeknetwork flow1, getsevendaysbeforeflow,getmaximumvalue! 2,GetSevendaysbefore flow,getaveragevalue! "" "Importos,sys,libvirt,socket,shutil,refromstatvfs importf_blocks,f_bavail,f_bsizeclasskvm_os_status (object): def __init__ (self): NBSP;NBsp;self.vmm={} Try:self.conn=libvirt.open (None) exceptlibvirt.libvirtError,e: printedefget_ Mem (self):try: f=open

TPS in the formula to get the number of transitions that each thing causes. Therefore, to reduce the CSR, you must work on the switch caused by each TPS, only n this value down, the CSR can be reduced, ideally n=0, but in any case, if n >= 4, you should check. In addition to the online csr Additional Information: These three metrics can be monitored in loadrunner, and in Linux, you can also use Vmstat to view R (Load arerage), in (Interrupt) and

How to view disk I/O operation information The SET STATISTICS IO on command is a message that enables SQL Server to display information about the amount of disk activity generated by Transact-SQL statements. We can be very useful when analyzing index performance. With this property enabled, after executing the SQL statement, we receive information similar to the following, which helps us analyze SQL performance: (3999 row (s) affected) Table ' Chargecl '. Scan count 1, logical read 9,547 times

I. Assessment METHODOLOGY 1. Leave the method The set up method directly divides the dataset D into two mutually exclusive collections, one of which is used as the training set S and the other as the test set T, and the T is used to evaluate the test error as an estimate of the generalization error when the model is trained at S. 2. Cross-validation method "Cross-validation" first divides the dataset D into K-sized mutually exclusive subsets, each of which maintains the consistency of the data d

student's performance, use the following statement: db.students.aggregate([{$project: {minScore: {$min: "$scores.score"}}}]) The statement inside minScore is equal to an alias and can be used for other. The results are as follows: { "_id" : 1, "minScore" : 34.85718117893772 } { "_id" : 3, "minScore" : 1.694720653897219 } { "_id" : 2, "minScore" : 6.301851677835235 } { "_id" : 4, "minScore" : 19.21886443577987 } { "_id" : 5, "minScore" : 10.53058536508186 } { "_id" : 7, "minScore" : 42.487806669

, occasionally do not have to worry about, if a long time, then you have to start to consider solving the disk IO performance issues.6.Processor:% Processor timeThis is an indicator for monitoring CPU conditions (similar to disk Time). This is a key parameter for observing CPU utilization. If the value of the processor Time counter continues to exceed 80%, there is a bottleneck on the CPU. If it only happens occasionally, it may indicate that there is a particular CPU-consuming query at this poi

time. However, this number will be different each time the query is run, except that the range of changes does not vary greatly over time. The total time is the amount of time that is required to execute the query (no time to block or read data), and because the load on the server is constantly changing, the range of this data can sometimes be quite large. In general, the performance of a query statement can be compared in several parameters in a quantitative way: 1, CPU time. Compare the CPU r

InnoDB table to monitor the remaining space of the InnoDB table.21.QPS Query volume per secondQPS = Questions (or Queries)/secondsMySQL > Show/* global * * status like ' Question ';22.TPS (transaction volume per second)TPS = (com_commit + com_rollback)/secondsMySQL > Show status like ' Com_commit ';MySQL > Show status like ' Com_rollback ';23.key Buffer hit RatioKey_buffer_read_hits = (1-key_reads/key_read_requests) * 100%Key_buffer_write_hits = (1-key_writes/key_write_requests) * 100%Mysql> Sh

/s rkb/s wkb/s avgrq-sz avgqu-sz await r_await w_await SVCTM%utilVDA 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00iostat-x VDA 1 2 command meaning: Every 1 seconds print the VDA this disk usage information, print two times altogether. %util indicates CPU busy, higher and busierUniversal Command-SAR(System Activity Report) is one of the most comprehensive systems performance analysis tools available on Linux and can be used to report system activity in many ways.Performance mon

SymmetricDS installation records and metrics ricds records This installation record is based on the example in the getting ricds Quick Start Guide and installed on two machines.Installation environment Machine1: hadoop3.highgo.com Machine2: hadoop4.highgo.comInstall javasricds 1. Download The ricdsserver program and download the ric-3.6.14 file. Decompress the package to the/opt/directory of the two machines and change the root directory owner of mong

Disk I/O performance metrics and tuning method bitsCN.com Before introducing the disk I/O monitoring command, we need to understand the disk I/O performance monitoring metrics, as well as the disk performance of each indicator. Disk I/O performance metrics include:Metric 1: I/O per second (IOPS or tps)For a disk, the continuous read or write operation of a disk i

This morning the cluster space is full, mobile Ambari Metrics collector Log Directory after the service can not start, the log is as follows:Java.net.ConnectException:Connection refused at Sun.nio.ch.SocketChannelImpl.checkConnect (Native Method) At Sun.nio.ch.SocketChannelImpl.finishConnect (Socketchannelimpl.java:712) at Org.apache.zookeeper.ClientCnxnSocketNIO.doTransport (Clientcnxnsocketnio.java:361) at Org.apache.zookeeper.clientcnxn$sendthread.

The last article (Zabbix distributed Server monitoring system installation and deployment (I) records the installation and deployment of the entire Zabbix System, including the Server and client segments, this article mainly describes how to install and configure the custom monitoring metrics of Zabbix. Because I only use some data and other information to monitor mysql The last article (Zabbix distributed Server monitoring system installation and dep

software structure measure methodEarly software metrics were associated with functional decomposition-oriented design methods, mostly based on module metrics.Process-oriented programming, the main factors affecting the quality of software: coupling, cohesion, complexity, modularity and size.Using the software module structure diagram for analysis, can be measured from the following aspects:? Maximum number of data transfers between modules? Average o

the larger the CTR, the greater the pressure on the server. CTR is just a performance reference, and it's important to analyze the impact of clicks. Note that the Click here does not refer to a single click of the mouse, because in a single click, the client may make multiple HTTP requests to the server.8. Resource utilizationRefers to the use of different system resources, such as server CPU utilization, disk utilization, and so on. Resource utilization is the main basis for analyzing system p

This article introduces using Python to write scripts, crawl system metrics, and then call Kafka Client library to metrics spit to Kafka case sharing. For the students with Kafka is very practical.You need to download two Python libraries to local before running this instance: six and Kafka-pythonCat Config_system_metrics.json{"env": {"Site": "Cluster","Component": "Namenode","Metric_prefix": "System"},"Out

a backgroundin a performance test or Linux Server operations, will involve the use of system resources monitoring, in addition to common system commands (such as top,iostat,free, etc.), a more comprehensive resource data monitoring tool is NMON, by running NMON on the server, You can periodically monitor the hardware resources and generate the collected data into a . NMON file. So, the question is, how do you parse the. Nmon file and get the performance data you care about in automated monitorin

a preface In the performance test framework development, you need to process the completed test report of the scene, summarize the performance metrics data that you are following in the report, and then write the report and send the relevant person a message. So, one of the steps is how to capture the data from the test report (e.g.,TPS, Response time, number of concurrent users, etc.). Two problem analysiswhen LR generates a test report, it saves the

Storage Metrics, storagemetrics When a SharePoint site is in use, the content will pass through, which will occupy the content database, increase the management complexity, and even reduce the system response time. You can set site quota to set a warning, so that the Administrator will know that the content of some sites is too large. The next step is to find out where the site occupies space. Obviously, it is unrealistic to manually browse docume

Important concepts in [Elasticsearch] aggregation-Buckets (barrels) and metrics (indicators) 2015-01-04 Source: http://blog.csdn.net/dm_vincent/article/details/42387161This chapter is translated from the Aggregations-high-level Concepts chapter of the Official Elasticsearch guide.High-level concept (high-level concepts)Like querying a DSL, aggregations (aggregations) have a composable (composable) syntax: Separate functional units can be mixed togethe